Conversational AI, LLM and ML - Artificial Intelligence Zone

This AI Paper from IBM and MIT Introduces SOLOMON: A Neuro-Inspired Reasoning Network for Enhancing LLM Adaptability in Semiconductor Layout Design

Marktechpost

FEBRUARY 16, 2025

Fine-tuning involves training LLMs with domain-specific data, but this process is time-intensive and requires significant computational resources. Retrieval-augmented generation ( RAG ) retrieves external knowledge to guide LLM outputs, but it does not fully address challenges related to structured problem-solving.

LLM

LLM Large Language Models Prompt Engineering Prompt Engineer

LLM-as-a-judge on Amazon Bedrock Model Evaluation

AWS Machine Learning Blog

FEBRUARY 12, 2025

The evaluation of large language model (LLM) performance, particularly in response to a variety of prompts, is crucial for organizations aiming to harness the full potential of this rapidly evolving technology. Both features use the LLM-as-a-judge technique behind the scenes but evaluate different things.

LLM

LLM Generative AI Automation Machine Learning

Enhancing LLM Capabilities with NeMo Guardrails on Amazon SageMaker JumpStart

AWS Machine Learning Blog

FEBRUARY 5, 2025

In this blog post, we explore a real-world scenario where a fictional retail store, AnyCompany Pet Supplies, leverages LLMs to enhance their customer experience. We will provide a brief introduction to guardrails and the Nemo Guardrails framework for managing LLM interactions. What is Nemo Guardrails? Heres how we implement this.

LLM

LLM Chatbots Conversational AI Large Language Models

Webinars

AI for Paralegals: Everything You Need to Know (and How to Use It Safely)

The Intersection of AI and Sales: Personalization Without Compromise

How to Achieve High-Accuracy Results When Using LLMs

Beyond the Buzz: How to Turn Marketing Trends into Revenue-Driving Strategies

MORE WEBINARS

LLM continuous self-instruct fine-tuning framework powered by a compound AI system on Amazon SageMaker

AWS Machine Learning Blog

FEBRUARY 21, 2025

Fine-tuning a pre-trained large language model (LLM) allows users to customize the model to perform better on domain-specific tasks or align more closely with human preferences. You can use supervised fine-tuning (SFT) and instruction tuning to train the LLM to perform better on specific tasks using human-annotated datasets and instructions.

LLM

LLM AI AI Data Scientist

4 Open-Source Alternatives to OpenAI’s $200/Month Deep Research AI Agent

Marktechpost

FEBRUARY 5, 2025

OpenDeepResearcher Overview: OpenDeepResearcher is an asynchronous AI research agent designed to conduct comprehensive research iteratively. It utilizes multiple search engines, content extraction tools, and LLM APIs to provide detailed insights. Jina AI for Content Extraction: Extracts and summarizes webpage content.

OpenAI

OpenAI LLM AI Researcher AI Research

An In-Depth Exploration of Reasoning and Decision-Making in Agentic AI: How Reinforcement Learning RL and LLM-based Strategies Empower Autonomous Systems

Marktechpost

FEBRUARY 1, 2025

LLM-Based Reasoning (GPT-4 Chain-of-Thought) A recent development in AI reasoning leverages LLMs. Task Generalization: While RL agents often require domain-specific rewards, LLM-based reasoners can adapt to diverse tasks simply by providing new instructions or context in natural language. Yet, challenges remain.

LLM

LLM Robotics Neural Network Large Language Models

Evaluate conversational AI agents with Amazon Bedrock

AWS Machine Learning Blog

JULY 25, 2024

However, the dynamic and conversational nature of these interactions makes traditional testing and evaluation methods challenging. Conversational AI agents also encompass multiple layers, from Retrieval Augmented Generation (RAG) to function-calling mechanisms that interact with external knowledge sources and tools.

Conversational AI

Conversational AI Machine Learning AI AI

Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning Blog

APRIL 24, 2024

Solution overview This solution introduces a conversational AI assistant tailored for IoT device management and operations when using Anthropic’s Claude v2.1 The AI assistant’s core functionality is governed by a comprehensive set of instructions, known as a system prompt , which delineates its capabilities and areas of expertise.

Conversational AI

Conversational AI LLM AI AI

KAIST and DeepAuto AI Researchers Propose InfiniteHiP: A Game-Changing Long-Context LLM Framework for 3M-Token Inference on a Single GPU

Marktechpost

FEBRUARY 16, 2025

The framework enhances LLM capabilities by integrating hierarchical token pruning, KV cache offloading, and RoPE generalization. Also,feel free to follow us on Twitter and dont forget to join our 75k+ ML SubReddit. Also, decoding throughput is increased by 3.2 on consumer GPUs (RTX 4090) and 7.25 on enterprise-grade GPUs (L40S).

LLM

LLM AI Researcher AI Research Large Language Models

ReasonFlux: Elevating LLM Reasoning with Hierarchical Template Scaling

Marktechpost

FEBRUARY 15, 2025

In this paper researchers introduced a new framework, ReasonFlux that addresses these limitations by reimagining how LLMs plan and execute reasoning steps using hierarchical, template-guided strategies. Recent approaches to enhance LLM reasoning fall into two categories: deliberate search and reward-guided methods.

LLM

LLM Large Language Models Metadata Conversational AI

How AI Chatbots Mimic Human Behavior: Insights from Multi-Turn Evaluations of LLMs

Marktechpost

FEBRUARY 15, 2025

Researchers evaluated anthropomorphic behaviors in AI systems using a multi-turn framework in which a User LLM interacted with a Target LLM across eight scenarios in four domains: friendship, life coaching, career development, and general planning. Interactions between 1,101 participants and Gemini 1.5

AI Chatbots

AI Chatbots Chatbots Conversational AI LLM

Beyond “Prompt and Pray”

O'Reilly Media

JANUARY 21, 2025

TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. A shift toward structured automation, which separates conversational ability from business logic execution, is needed for enterprise-grade reliability.

Conversational AI

Conversational AI LLM Software Engineer Automation

Enhance your customer’s omnichannel experience with Amazon Bedrock and Amazon Lex

Flipboard

JANUARY 23, 2025

With Amazon Lex bots, businesses can use conversational AI to integrate these capabilities into their call centers. These AI technologies have significantly reduced agent handle times, increased Net Promoter Scores (NPS), and streamlined self-service tasks, such as appointment scheduling.

LLM

LLM Generative AI Robotics Conversational AI

Enhancing LLM Reasoning with Multi-Attempt Reinforcement Learning

Marktechpost

MARCH 11, 2025

Several prior studies have investigated planning and self-correction mechanisms in RL for LLMs. Inspired by the Thinker algorithm, which enables agents to explore alternatives before taking action, some approaches enhance LLM reasoning by allowing multiple attempts rather than learning a world model. Check out the Paper.

LLM

LLM Conversational AI Python Algorithm

Introducing multi-turn conversation with an agent node for Amazon Bedrock Flows (preview)

Flipboard

JANUARY 22, 2025

For general travel inquiries, users receive instant responses powered by an LLM. For this node, the condition value is: Name: Booking Condition: categoryLetter=="A" Create a second prompt node for the LLM guide invocation. Irene Arroyo Delgado is an AI/ML and GenAI Specialist Solutions Architect at AWS.

Generative AI

Generative AI ML Automation Explainability

Meet ZebraLogic: A Comprehensive AI Evaluation Framework for Assessing LLM Reasoning Performance on Logic Grid Puzzles Derived from Constraint Satisfaction Problems (CSPs)

Marktechpost

FEBRUARY 8, 2025

The framework prevents data leakage and enables a detailed analysis of an LLM’s ability to handle increasingly complex reasoning tasks. ZebraLogic serves as a crucial step toward understanding the fundamental constraints of LLMs in structured reasoning and scaling limitations. Dont Forget to join our 75k+ ML SubReddit.

LLM

LLM Automation AI AI

DeepSeek AI Introduces CODEI/O: A Novel Approach that Transforms Code-based Reasoning Patterns into Natural Language Formats to Enhance LLMs’ Reasoning Capabilities

Marktechpost

FEBRUARY 15, 2025

By making predictions verifiable , CODEI/O provides a scalable and reliable method for improving LLM reasoning. By bridging code-based and natural language reasoning , CODEI/O offers a promising direction for enhancing LLMs cognitive abilities beyond programming-related tasks.

Large Language Models

Large Language Models Natural Language Processing Conversational AI AI

STORM (Spatiotemporal TOken Reduction for Multimodal LLMs): A Novel AI Architecture Incorporating a Dedicated Temporal Encoder between the Image Encoder and the LLM

Marktechpost

MARCH 11, 2025

The model improves video representations with a bidirectional spatiotemporal scanning mechanism while mitigating the burden of temporal reasoning from the LLM. Also,feel free to follow us on Twitter and dont forget to join our 80k+ ML SubReddit. million samples, including text, image-text, and video-text data. Check out the Paper.

LLM

LLM Conversational AI AI AI

Google DeepMind Researchers Propose Matryoshka Quantization: A Technique to Enhance Deep Learning Efficiency by Optimizing Multi-Precision Models without Sacrificing Accuracy

Marktechpost

FEBRUARY 15, 2025

This provides a flexible, high-performance option for low-bit quantization in efficient LLM inference. Also,feel free to follow us on Twitter and dont forget to join our 75k+ ML SubReddit. All credit for this research goes to the researchers of this project.

Deep Learning

Deep Learning Conversational AI LLM ML

Advancing AI trust with new responsible AI tools, capabilities, and resources

AWS Machine Learning Blog

DECEMBER 5, 2024

Used alongside other techniques such as prompt engineering, RAG, and contextual grounding checks, Automated Reasoning checks add a more rigorous and verifiable approach to enhancing the accuracy of LLM-generated outputs. Click on the image below to see a demo of Automated Reasoning checks in Amazon Bedrock Guardrails.

Responsible AI

Responsible AI AI Tools AI AI

This AI Paper Introduces RL-Enhanced QWEN 2.5-32B: A Reinforcement Learning Framework for Structured LLM Reasoning and Tool Manipulation

Marktechpost

MARCH 11, 2025

These results underscore RLs effectiveness in refining LLM reasoning capabilities, highlighting its potential for application in complex problem-solving tasks. Also,feel free to follow us on Twitter and dont forget to join our 80k+ ML SubReddit. The post This AI Paper Introduces RL-Enhanced QWEN 2.5-32B: Check out the Paper.

LLM

LLM Large Language Models Artificial Intelligence Artificial Intelligence

Can 1B LLM Surpass 405B LLM? Optimizing Computation for Small LLMs to Outperform Larger Models

Marktechpost

FEBRUARY 13, 2025

However, a comprehensive evaluation of how factors impact TTS strategies remains unexplored, restricting the community’s understanding of optimal computation scaling for LLMs. Prior research has explored multiple strategies to enhance LLM performance, including majority voting, search-based approaches, and self-refinement techniques.

LLM

LLM Categorization Conversational AI ML

Hugging Face Releases OlympicCoder: A Series of Open Reasoning AI Models that can Solve Olympiad-Level Programming Problems

Marktechpost

MARCH 11, 2025

Also,feel free to follow us on Twitter and dont forget to join our 80k+ ML SubReddit. Meet Parlant: An LLM-first conversational AI framework designed to provide developers with the control and precision they need over their AI customer service agents, utilizing behavioral guidelines and runtime supervision.

AI Modeling

AI Modeling Artificial Intelligence Artificial Intelligence Conversational AI

Learn how to build and deploy tool-using LLM agents using AWS SageMaker JumpStart Foundation Models

AWS Machine Learning Blog

SEPTEMBER 15, 2023

Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins, and so on), and 2) the ability to plan and execute tasks in a self-directed fashion. We conclude the post with items to consider before deploying LLM agents to production.

LLM

LLM Prompt Engineering Prompt Engineer Large Language Models

This AI Research from China Introduces Infinite-LLM: An Efficient Service for Long Context LLM that Utilizes a Novel Distributed Attention Algorithm Called DistAttention and a Distributed KVCache Management Mechanism

Marktechpost

JANUARY 17, 2024

The field of natural language processing has been transformed by the advent of Large Language Models (LLMs), which provide a wide range of capabilities, from simple text generation to sophisticated problem-solving and conversational AI. times better performance than existing state-of-the-art LLM service systems.

LLM

LLM Algorithm AI Researcher AI Research

This AI Paper from KAIST AI Introduces a Novel Approach to Improving LLM Inference Efficiency in Multilingual Settings

Marktechpost

OCTOBER 1, 2024

As a result, LLMs tend to exhibit slower response times and higher computational costs when processing such languages, making it difficult to maintain consistent performance across language pairs. Researchers have explored various methods to optimize LLM inference efficiency to overcome these challenges.

LLM

LLM Natural Language Processing AI AI

Google AI Releases Gemma 3: Lightweight Multimodal Open Models for Efficient and On‑Device AI

Marktechpost

MARCH 12, 2025

Also,feel free to follow us on Twitter and dont forget to join our 80k+ ML SubReddit. Meet Parlant: An LLM-first conversational AI framework designed to provide developers with the control and precision they need over their AI customer service agents, utilizing behavioral guidelines and runtime supervision.

AI

AI AI Artificial Intelligence Artificial Intelligence

Nous Research Released DeepHermes 3 Preview: A Llama-3-8B Based Model Combining Deep Reasoning, Advanced Function Calling, and Seamless Conversational Intelligence

Marktechpost

FEBRUARY 15, 2025

DeepHermes 3 Preview (DeepHermes-3-Llama-3-8B-Preview) is the latest iteration in Nous Researchs series of LLMs. As one of the first models to integrate both reasoning-based long-chain thought processing and conventional LLM response mechanisms, DeepHermes 3 marks a significant step in AI model sophistication.

Data Extraction

Data Extraction Automation NLP Conversational AI

This AI Paper Introduces CODI: A Self-Distillation Framework for Efficient and Scalable Chain-of-Thought Reasoning in LLMs

Marktechpost

MARCH 9, 2025

CODI marks a significant improvement in LLM reasoning, effectively bridging the gap between explicit CoT and computational efficiency. Leveraging self-distillation and continuous representations introduces a scalable approach to AI reasoning. Also,feel free to follow us on Twitter and dont forget to join our 80k+ ML SubReddit.

Large Language Models

Large Language Models LLM AI AI

Amazon Bedrock announces general availability of multi-agent collaboration

AWS Machine Learning Blog

MARCH 10, 2025

Conversational AI agent Uses a multilingual conversational large language model (LLM) to interact with users in natural language, delivering insights in a clear format. Most recently, Sri joined Amazon Web Services leveraging her diverse skillset to make a significant impact on AI/ML services and infrastructure at AWS.

Automation

Automation Generative AI Machine Learning Large Language Models

ChatGPT, Bard, and other AI showcases: how Conversational AI platforms have adopted new…

Chatbots Life

MARCH 16, 2023

ChatGPT, Bard, and other AI showcases: how Conversational AI platforms have adopted new technologies. On November 30, 2022, OpenAI , a San Francisco-based AI research and deployment firm, introduced ChatGPT as a research preview. How GPT-3 technology can help Conversational AI platforms?

Conversational AI

Conversational AI ChatGPT Chatbots OpenAI

Chain-of-Associated-Thoughts (CoAT): An AI Framework to Enhance LLM Reasoning

Marktechpost

FEBRUARY 6, 2025

Current approaches to enhancing LLM reasoning fall into two categories. For instance, while LATS (LLM-driven MCTS) introduced evaluation and reflection stages, it still operates within the model’s initial knowledge boundaries. Dont Forget to join our 75k+ ML SubReddit. Coder-7B-Instruct, Qwen2.5-Coder-14B-Instruct)

LLM

LLM Large Language Models Algorithm Artificial Intelligence

How Does Machine Learning Scale to New Peaks? This AI Paper from ByteDance Introduces MegaScale: Revolutionizing Large Language Model Training with Over 10,000 GPUs

Marktechpost

MARCH 1, 2024

Large language models (LLMs) stand out for their astonishing ability to mimic human language. These models, pivotal in advancements across machine translation, summarization, and conversational AI, thrive on vast datasets and equally enormous computational power. Check out the Paper.

Large Language Models

Large Language Models Machine Learning LLM Conversational AI

Meta AI Proposes EvalPlanner: A Preference Optimization Algorithm for Thinking-LLM-as-a-Judge

Marktechpost

JANUARY 30, 2025

To mitigate these limitations, the LLM-as-a-Judge paradigm has emerged, leveraging LLMs themselves to act as evaluators. To overcome these issues, Meta AI has introduced EvalPlanner, a novel approach designed to improve the reasoning and decision-making capabilities of LLM-based judges through an optimized planning-execution strategy.

LLM

LLM Algorithm AI Large Language Models

This AI Paper from MIT and UCL Introduces a Diagrammatic Approach for GPU-Aware Deep Learning Optimization

Marktechpost

MARCH 8, 2025

Also,feel free to follow us on Twitter and dont forget to join our 80k+ ML SubReddit. Meet Parlant: An LLM-first conversational AI framework designed to provide developers with the control and precision they need over their AI customer service agents, utilizing behavioral guidelines and runtime supervision.

Deep Learning

Deep Learning Natural Language Processing Computer Vision Algorithm

Intel Labs Explores Low-Rank Adapters and Neural Architecture Search for LLM Compression

Marktechpost

JANUARY 31, 2025

Large language models (LLMs) have become indispensable for various natural language processing applications, including machine translation, text summarization, and conversational AI. Dont Forget to join our 70k+ ML SubReddit. Also,dont forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

LLM

LLM Large Language Models Natural Language Processing Conversational AI

Meet Hydragen: A Hardware-Aware Exact Implementation of Attention with Shared Prefixes

Marktechpost

FEBRUARY 17, 2024

This inefficiency strains computing resources and limits the scalability of LLM applications. Hydragen is ingeniously designed to optimize LLM inference in shared-prefix scenarios, dramatically improving throughput and reducing computational overhead. Check out the Paper. Check out the Paper.

LLM

LLM Large Language Models Artificial Intelligence Artificial Intelligence

Can AI Keep Up in Long Conversations? Unveiling LoCoMo, the Ultimate Test for Dialogue Systems

Marktechpost

MARCH 3, 2024

Recent advancements in AI have significantly impacted the field of conversational AI, particularly in the development of chatbots and digital assistants. These systems aim to mimic human-like conversations, providing users with more natural and engaging interactions. Check out the Paper.

Conversational AI

Conversational AI Large Language Models Chatbots AI

From Genes to Genius: Evolving Large Language Models with Nature’s Blueprint

Marktechpost

MARCH 11, 2025

Therefore, there is an urgent need for a more effective approach that allows LLMs to dynamically adapt, need minimal data to adapt, and improve performance without paying a heavy computational price. Several methods have been proposed to boost LLM adaptation, yet each has essential drawbacks. Check out the Paper.

Large Language Models

Large Language Models Artificial Intelligence Artificial Intelligence LLM

Using AI-Mechanized Hyperautomation for Organizational Decision Making

Unite.AI

FEBRUARY 19, 2024

To elucidate the aforementioned conundrum, this article aims to analyze the current state-of-art of RPA and examine the converging impact of Artificial Intelligence (AI) and Machine Learning (ML) technologies. Simply put, it is a superior iteration of intelligent automation. This shift is expected to become the norm by 2024.

Neural Network

Neural Network Natural Language Processing Automation Robotics

This AI Paper Unveils the Potential of Speculative Decoding for Faster Large Language Model Inference: A Comprehensive Analysis

Marktechpost

JANUARY 22, 2024

Large Language Models (LLMs) are crucial to maximizing efficiency in natural language processing. These models, central to various applications ranging from language translation to conversational AI, face a critical challenge in the form of inference latency. Following the drafting phase, the verification step comes into play.

Large Language Models

Large Language Models Natural Language Processing Conversational AI Machine Learning

Layer Parallelism: Enhancing LLM Inference Efficiency Through Parallel Execution of Transformer Layers

Marktechpost

FEBRUARY 14, 2025

Given the rapid expansion of LLMs, which often contain hundreds of billions of parameters, optimizing inference is critical for improving efficiency, reducing latency, and reducing operational expenses. The study examines the effective depth of LLMs by applying transformations such as shuffling, merging, and pruning layers.

LLM

LLM Neural Network Conversational AI ML

Conversational AI with LangChain and Comet

Heartbeat

FEBRUARY 8, 2024

This evolution paved the way for the development of conversational AI. The recent rise of Large Language Models (LLMs) has been a game changer for the ChatBot industry. These models are trained on extensive data and have been the driving force behind conversational tools like BARD and ChatGPT. Run the following command:

Conversational AI

Conversational AI Chatbots LLM Prompt Engineering

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning Blog

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

Metadata

Metadata LLM NLP Conversational AI

This AI Paper from IBM and MIT Introduces SOLOMON: A Neuro-Inspired Reasoning Network for Enhancing LLM Adaptability in Semiconductor Layout Design

LLM-as-a-judge on Amazon Bedrock Model Evaluation

Webinars

Trending Sources

Enhancing LLM Capabilities with NeMo Guardrails on Amazon SageMaker JumpStart

Webinars

LLM continuous self-instruct fine-tuning framework powered by a compound AI system on Amazon SageMaker

4 Open-Source Alternatives to OpenAI’s $200/Month Deep Research AI Agent

An In-Depth Exploration of Reasoning and Decision-Making in Agentic AI: How Reinforcement Learning RL and LLM-based Strategies Empower Autonomous Systems

Evaluate conversational AI agents with Amazon Bedrock

Enhance conversational AI with advanced routing techniques with Amazon Bedrock

KAIST and DeepAuto AI Researchers Propose InfiniteHiP: A Game-Changing Long-Context LLM Framework for 3M-Token Inference on a Single GPU

ReasonFlux: Elevating LLM Reasoning with Hierarchical Template Scaling

How AI Chatbots Mimic Human Behavior: Insights from Multi-Turn Evaluations of LLMs

Beyond “Prompt and Pray”

Enhance your customer’s omnichannel experience with Amazon Bedrock and Amazon Lex

Enhancing LLM Reasoning with Multi-Attempt Reinforcement Learning

Introducing multi-turn conversation with an agent node for Amazon Bedrock Flows (preview)

Meet ZebraLogic: A Comprehensive AI Evaluation Framework for Assessing LLM Reasoning Performance on Logic Grid Puzzles Derived from Constraint Satisfaction Problems (CSPs)

DeepSeek AI Introduces CODEI/O: A Novel Approach that Transforms Code-based Reasoning Patterns into Natural Language Formats to Enhance LLMs’ Reasoning Capabilities

STORM (Spatiotemporal TOken Reduction for Multimodal LLMs): A Novel AI Architecture Incorporating a Dedicated Temporal Encoder between the Image Encoder and the LLM

Google DeepMind Researchers Propose Matryoshka Quantization: A Technique to Enhance Deep Learning Efficiency by Optimizing Multi-Precision Models without Sacrificing Accuracy

Advancing AI trust with new responsible AI tools, capabilities, and resources

This AI Paper Introduces RL-Enhanced QWEN 2.5-32B: A Reinforcement Learning Framework for Structured LLM Reasoning and Tool Manipulation

Can 1B LLM Surpass 405B LLM? Optimizing Computation for Small LLMs to Outperform Larger Models

Hugging Face Releases OlympicCoder: A Series of Open Reasoning AI Models that can Solve Olympiad-Level Programming Problems

Learn how to build and deploy tool-using LLM agents using AWS SageMaker JumpStart Foundation Models

This AI Research from China Introduces Infinite-LLM: An Efficient Service for Long Context LLM that Utilizes a Novel Distributed Attention Algorithm Called DistAttention and a Distributed KVCache Management Mechanism

This AI Paper from KAIST AI Introduces a Novel Approach to Improving LLM Inference Efficiency in Multilingual Settings

Google AI Releases Gemma 3: Lightweight Multimodal Open Models for Efficient and On‑Device AI

Nous Research Released DeepHermes 3 Preview: A Llama-3-8B Based Model Combining Deep Reasoning, Advanced Function Calling, and Seamless Conversational Intelligence

This AI Paper Introduces CODI: A Self-Distillation Framework for Efficient and Scalable Chain-of-Thought Reasoning in LLMs

Amazon Bedrock announces general availability of multi-agent collaboration

ChatGPT, Bard, and other AI showcases: how Conversational AI platforms have adopted new…

Chain-of-Associated-Thoughts (CoAT): An AI Framework to Enhance LLM Reasoning

How Does Machine Learning Scale to New Peaks? This AI Paper from ByteDance Introduces MegaScale: Revolutionizing Large Language Model Training with Over 10,000 GPUs

Meta AI Proposes EvalPlanner: A Preference Optimization Algorithm for Thinking-LLM-as-a-Judge

This AI Paper from MIT and UCL Introduces a Diagrammatic Approach for GPU-Aware Deep Learning Optimization

Intel Labs Explores Low-Rank Adapters and Neural Architecture Search for LLM Compression

Meet Hydragen: A Hardware-Aware Exact Implementation of Attention with Shared Prefixes

Can AI Keep Up in Long Conversations? Unveiling LoCoMo, the Ultimate Test for Dialogue Systems

From Genes to Genius: Evolving Large Language Models with Nature’s Blueprint

Using AI-Mechanized Hyperautomation for Organizational Decision Making

This AI Paper Unveils the Potential of Speculative Decoding for Faster Large Language Model Inference: A Comprehensive Analysis

Layer Parallelism: Enhancing LLM Inference Efficiency Through Parallel Execution of Transformer Layers

Conversational AI with LangChain and Comet

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

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